Systems & Infrastructure Specialist

Job Title: Systems & Infrastructure Specialist

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering workflows. These workflows are similar in scope to common DevOps | CI/CD | Debugging workflows using common cli tools such as git, docker, gdb, asan, ffmpeg and many more. Your task will be to create reproducible rl environments that test a model’s ability to solve these workflows along with a golden reference solution.

Key Responsibilities:

• Navigate, troubleshoot, and recover dynamic infrastructure and long-running processes in real-time using command-line tools.

• Master and manage highly containerized environments, including orchestrating Dockerized sandboxes and CI/CD workflows.

• Build, maintain, and optimize systems for AI model training and high-throughput compute environments.

• Respond swiftly to system errors, executing dynamic mid-operation replanning and recovery.

• Collaborate with engineering and AI teams to ensure seamless integration, reliability, and performance.

• Document system architectures, incident responses, and recovery protocols with meticulous clarity.

• Contribute expertise to evolving project needs, adapting to new technologies and scaling strategies as required.

Required Skills and Qualifications:

• Demonstrated expert proficiency working in terminal environments for system builds, server administration, and infrastructure management.

• Advanced problem-solving skills for multi-step troubleshooting, filesystem navigation, and process management within containerized settings.

• Hands-on experience with Python, Bash, JavaScript/TypeScript, Go, Rust, and/or C/C++.

• Deep familiarity with build systems, package managers, databases, web servers, ML frameworks, version control, and cryptography tools.

• Proven ability to execute dynamic infrastructure recovery and optimize long-running processes under pressure.

• Strong written and verbal communication skills, with a passion for precise technical documentation.

• Systems multilingualism: versatility across operating systems, languages, and emerging DevOps tools.

Preferred Qualifications:

• Prior experience in high-compute environments for AI/ML workloads.

• Background in Site Reliability Engineering or DevOps roles focused on mission-critical infrastructure.

• Familiarity with advanced container orchestration and distributed system design.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within

and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.